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Most existing protein complex detection algorithms cannot reflect dynamics of protein complexes. In this paper, a novel algorithm named Improved Cuckoo Search Clustering (ICSC) algorithm is proposed to detect protein complexes in weighted dynamic protein-protein interaction (PPI) networks. First, we constructed weighted dynamic PPI networks and detected protein complex cores in each dynamic subnetwork. Then, ICSC algorithm was used to cluster the protein attachments to the cores. The experimental results on both DIP dataset and Krogan dataset demonstrated that ICSC algorithm is more effective in identifying protein complexes than other competing methods.<\/jats:p>","DOI":"10.1155\/2017\/4120506","type":"journal-article","created":{"date-parts":[[2017,8,28]],"date-time":"2017-08-28T17:01:35Z","timestamp":1503939695000},"page":"1-11","source":"Crossref","is-referenced-by-count":13,"title":["Predicting Protein Complexes in Weighted Dynamic PPI Networks Based on ICSC"],"prefix":"10.1155","volume":"2017","author":[{"given":"Jie","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Computer Science, Shaanxi Normal University, Xi\u2019an, Shaanxi 710119, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9901-1732","authenticated-orcid":true,"given":"Xiujuan","family":"Lei","sequence":"additional","affiliation":[{"name":"School of Computer Science, Shaanxi Normal University, Xi\u2019an, Shaanxi 710119, 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